Sprint planning is one of those rituals everyone agrees is important and almost no one runs well. Two-hour meetings, half the team checked out, estimates that nobody really believes. Kavanah's AI agents are designed to take the busywork out of planning so the meeting itself can be short and decisive.
1. Start With a Real Backlog View
Kavanah's agent groups the backlog by urgency, blocker status, and likely owner before you walk in. You spend the meeting deciding, not sorting.
2. Estimate Off Real Velocity
The agent uses your team's past velocity — not a vibe — to flag when a sprint is starting overcommitted. You get a warning before the sprint, not a retrospective after it.
3. Surface Hidden Dependencies
Tasks that depend on other tasks, paused threads, or unfinished design reviews get flagged before they go into the sprint, instead of becoming the surprise blocker on day three.
4. Auto-Draft a Sprint Plan
The agent drafts a plan and you adjust. The blank-page problem disappears, and the meeting becomes about disagreements worth having — not about who copies tickets into the sprint board.
5. Make Retrospectives Cheap
Because the workspace already knows what shipped, what slipped, and what got pulled out mid-sprint, the retro is grounded in real history instead of selective memory.
Good sprint planning isn't about more ceremony. It's about doing less of the manual work and more of the thinking. Let AI handle the first part.
